Optimization of Chiller and Heating Capacity Allocation for Distributed Energy Station Based on Typical Day Hourly Load

Hongsheng SONG

doi:10.16513/j.cnki.10-1427/tk.2017.01.008

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Distributed Energy ›› 2017, Vol. 2 ›› Issue (1) : 50-57. DOI: 10.16513/j.cnki.10-1427/tk.2017.01.008

Application Technology

Optimization of Chiller and Heating Capacity Allocation for Distributed Energy Station Based on Typical Day Hourly Load

Hongsheng SONG

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Abstract

Based on the typical day hourly cooling and heating load of a project, the optimization mathematical model for chiller，heating and energy storage capacity allocation of the distributed energy system is modeled. The reasonable objective function and constraint conditions are given, and the simplex algorithm is used to solve the optimization mathematical model. The life cycle initial investment and operation cost are served as the evaluation index, and the optimal capacity ratio of the chiller，heating and energy storage of the distributed energy system are discussed. The proposed method can decrease the investment, improve the utilization rate of equipment and operation economy of distributed energy system. For a distributed energy center of the office commercial complex in Beijing, the influences of electricity and natural gas price fluctuation on the chiller，heating and energy storage capacity allocation are studied, which provides a theoretical basis for the rational allocation and selection of distributed energy system.

Key words

typical day hourly cooling and heating load / life cycle cost / energy storage / energy station / capacity optimal allocation

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Hongsheng SONG. Optimization of Chiller and Heating Capacity Allocation for Distributed Energy Station Based on Typical Day Hourly Load[J]. Distributed Energy Resources. 2017, 2(1): 50-57 https://doi.org/10.16513/j.cnki.10-1427/tk.2017.01.008

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